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Presenter Information

Michael TrieuFollow

Description

Evaluation of Visual Treatment Objective (VTO) Accuracy in Nonsurgical Orthodontic Treatment

Dr. Michael Trieu, Dr. Glen Roberson, Dr. Pramod Sinha, Dr. Calvin Heinrich, Dr. Kishore Chaudhry

Abstract

Background and Objectives

Visual treatment objectives (VTOs) predict the effects that different hard tissue movements can have on a person’s facial soft tissue. This is a powerful tool that can provide doctors with a visual prediction of what a patient would look like through various surgical and orthodontic movements while also providing a means to effectively communicate with patients. Initially, VTOs were drawn by hand, but technological innovations have provided the ability to perform VTOs digitally, building upon procedures and predictions that initial VTO founders employed. While numerous studies have been conducted evaluating the accuracy and validity of both manual and digital VTOs, most of these studies are implemented in the context of surgical orthodontic treatment. In consideration, this study will investigate VTOs strictly in a non-surgical context and evaluate the accuracy at various anatomic landmarks.

Materials and Methods

Computerized tomographic scans of the head will be conducted by i-CAT FLX17-19 as part of routine records for orthodontic treatment and uploaded to Dolphin. Pre-treatment scans will be rendered to obtain diagnostic information including the lateral cephalogram, which will then be digitized and superimposed onto the patient's side profile photograph for the VTO. A Post-treatment cephalogram will be used to record the orthodontic movements that were performed and a post-treatment profile photo will be used to evaluate the resulting soft tissue profile. Applying these movements to a pretreatment VTO, we can compare the rendered VTO to the actual post treatment images and evaluate the soft tissue VTO accuracy at different anatomical landmarks. Setting type I error at 0.05 and type II error at 0.20 and taking into account a previous study containing a difference of 0.25, the sample size was determined to be 24.

Results

No results have been captured at this time as data collection process is currently ongoing.

Conclusions

No conclusions have been made at this time as data collection process is currently ongoing.

Disciplines

Orthodontics and Orthodontology

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C24: Evaluation of Visual Treatment Objective (VTO) Accuracy in Nonsurgical Orthodontic Treatment

Evaluation of Visual Treatment Objective (VTO) Accuracy in Nonsurgical Orthodontic Treatment

Dr. Michael Trieu, Dr. Glen Roberson, Dr. Pramod Sinha, Dr. Calvin Heinrich, Dr. Kishore Chaudhry

Abstract

Background and Objectives

Visual treatment objectives (VTOs) predict the effects that different hard tissue movements can have on a person’s facial soft tissue. This is a powerful tool that can provide doctors with a visual prediction of what a patient would look like through various surgical and orthodontic movements while also providing a means to effectively communicate with patients. Initially, VTOs were drawn by hand, but technological innovations have provided the ability to perform VTOs digitally, building upon procedures and predictions that initial VTO founders employed. While numerous studies have been conducted evaluating the accuracy and validity of both manual and digital VTOs, most of these studies are implemented in the context of surgical orthodontic treatment. In consideration, this study will investigate VTOs strictly in a non-surgical context and evaluate the accuracy at various anatomic landmarks.

Materials and Methods

Computerized tomographic scans of the head will be conducted by i-CAT FLX17-19 as part of routine records for orthodontic treatment and uploaded to Dolphin. Pre-treatment scans will be rendered to obtain diagnostic information including the lateral cephalogram, which will then be digitized and superimposed onto the patient's side profile photograph for the VTO. A Post-treatment cephalogram will be used to record the orthodontic movements that were performed and a post-treatment profile photo will be used to evaluate the resulting soft tissue profile. Applying these movements to a pretreatment VTO, we can compare the rendered VTO to the actual post treatment images and evaluate the soft tissue VTO accuracy at different anatomical landmarks. Setting type I error at 0.05 and type II error at 0.20 and taking into account a previous study containing a difference of 0.25, the sample size was determined to be 24.

Results

No results have been captured at this time as data collection process is currently ongoing.

Conclusions

No conclusions have been made at this time as data collection process is currently ongoing.